With TensorFlow, Google developed one of the most important machine learning libraries of the past years. TensorFlow enables the development of deep learning models for many purposes, such as image recognition, time series modeling and natural language processing. This course introduces you to the theory behind neural networks as well as the framework TensorFlow and introduces you to practical application and development of neural networks and deep learning models:
- Introduction to neural networks and deep learning
- Introduction in TensorFlow
- Graph and eager based code execution
- Coding a single neuron in TensorFlow
- Multi-layer neural networks in TensorFlow
- Convolutional neural networks in TensorFlow
- Overview of further model architectures (RNN, LSTM)
- Training of deep learning models
- Monitoring and logging of trainings
- Evaluating deep learning models
- Best practices deep learning
1 day integrated module
Training Languages : German, English
Type : Classroom
Hands-On: Yes
Key topics: TensorFlow, Deep Learning, Neural Networks
Training Locations: Frankfurt, Zurich or based on client location
For more information related to the Partner Product/Service, please visit: www.statworx.com/de/academy/python-kurse/python-tensorflow-kurs/
| 建议的服务 | Software Design |
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